城市3d环境中的感染动力学:挑战与可能性

E. Eremchenko, V. Tikunov, S. Vylegzhanin, Alexander Fetishev
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引用次数: 1

摘要

本文简要概述了在数字地球范式下制作的城镇3d模型的帮助下,对普罗维诺(俄罗斯)现代城市环境中感染过程动力学的现阶段研究结果。数据为2011-2016年期间(38791个事件)。实现了“建筑日”的空间和时间分辨率。研究表明,即使在相邻的建筑物中,传染病的发病率也会因建筑物之间的差异而有很大差异。有一些建筑物的传染病发病率明显较高,也有一些建筑物的传染病发病率明显较低。如此显著的差异很难用空气和水污染等当地生态因素来解释,因为它们对如此小的区域的影响具有普遍性。COVID-19全球动态的例子表明,需要研究局部流行过程的特定和非特定因素。并对今后的研究进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Infectious Dynamics in Urban 3D-Environment: Challenges and Possibilities
The article is a brief overview of the results of the current stage of study of the dynamics of infectious processes in the modern urban environment in Protvino (Russia) with the help of 3D-model of the town, made in the paradigm of the Digital Earth. Data for the period 2011-2016 (38791 events) were used. Spatial and temporal resolution “building-day” was achieved. It is demonstrated that infectious diseases rates even in neighboring buildings can vary significantly from one to another. The presence of buildings with both significantly higher and significantly lower rates of infectious diseases is shown. Such significant discrepancies between rates are difficult to explain by local ecological factors like air and water pollutions because of the generalized nature of their impact on such a small area. The example of the global dynamics of COVID-19 demonstrates the need to study both specific and non-specific factors for the local epidemic process. Prospectives of the future researches are discussed briefly.
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